We present a method to detect patterns in defocused scenes by means of a joint transform correlator. We describe analytically the correlation plane, and we also introduce an original procedure to recognize the target by postprocessing the correlation plane. The performance of the methodology when the defocused images are corrupted by additive noise is also considered
Joint transform correlator (JTC) is a highly efficient way to measure image motion and a hybrid opto...
In this paper, we address the problem of finding depth from defocus in a fundamentally new way. Most...
The use of different kinds of nonlinear filtering in a joint transform correlator are studied and co...
We present a method to detect patterns in defocused scenes by means of a joint transform correlator....
In multiobject pattern recognition the height of the correlation peaks should be controlled when the...
We propose a method to obtain a single centered correlation with use of a joint transform correlator...
Challenges in pattern recognition mainly includes object rotation, scaling, and illumination variati...
The capacity of an optical correlator to identify, recognise and locate a target object in a clutter...
One of the most important problems in optical pattern recognition by correlation is the appearance o...
Recently, we proposed an approach to obtain a single on-axis correlation with use of a joint transfo...
A simple method for optical implementation of a composite filter in a joint transform correlator is ...
It is possible to improve the fringe binarization method of joint transform correlation by choosing ...
The recovery of a real signal from its auto-correlation is a wide-spread problem in computational im...
This chapter covers some of the latest developments in optical correlation techniques for face recog...
The Joint Transform Correlation (JTC) technique is the one of the most frequently applied methods in...
Joint transform correlator (JTC) is a highly efficient way to measure image motion and a hybrid opto...
In this paper, we address the problem of finding depth from defocus in a fundamentally new way. Most...
The use of different kinds of nonlinear filtering in a joint transform correlator are studied and co...
We present a method to detect patterns in defocused scenes by means of a joint transform correlator....
In multiobject pattern recognition the height of the correlation peaks should be controlled when the...
We propose a method to obtain a single centered correlation with use of a joint transform correlator...
Challenges in pattern recognition mainly includes object rotation, scaling, and illumination variati...
The capacity of an optical correlator to identify, recognise and locate a target object in a clutter...
One of the most important problems in optical pattern recognition by correlation is the appearance o...
Recently, we proposed an approach to obtain a single on-axis correlation with use of a joint transfo...
A simple method for optical implementation of a composite filter in a joint transform correlator is ...
It is possible to improve the fringe binarization method of joint transform correlation by choosing ...
The recovery of a real signal from its auto-correlation is a wide-spread problem in computational im...
This chapter covers some of the latest developments in optical correlation techniques for face recog...
The Joint Transform Correlation (JTC) technique is the one of the most frequently applied methods in...
Joint transform correlator (JTC) is a highly efficient way to measure image motion and a hybrid opto...
In this paper, we address the problem of finding depth from defocus in a fundamentally new way. Most...
The use of different kinds of nonlinear filtering in a joint transform correlator are studied and co...